SCAMO: Scalable task and motion planning in multi-robot systems using cloud services (Plánování v multi­robotických systémech s využitím cloudových technologií)

In this project we investigate methods for fast task and motion planning using cloud-based services. The project is motivated by the industrial bin-picking scenario. In this scenario, the task of the robots is to unload objects from container. We consider the randomized version of the problem, where positions/orientations of the objects are not known in advance and therefore trajectories for the robots cannot be computed in advance. Besides development of new task and motion planning methods, we employ cloud-based computing.

The project is realized with Prof. Dr.-Ing. Jörg Krüger, and Dipl.-Ing. Axel Vick from Faculty V of Mechanical Engineering and Transport Systems, Department of Machine Tools and Factory Management,Industrial Automation Technology Group, Berlin, Germany.

Project supported by MSMT-Mobiltiy and DAAD.


  1. V Vonasek, A Vick and M Saska. Motion Planning with Motion Primitives for Industrial Bin Picking. In ETFA. 2017. BibTeX

    	title = "Motion Planning with Motion Primitives for Industrial Bin Picking",
    	author = "V. Vonasek and A. Vick and M. Saska",
    	booktitle = "ETFA",
    	year = 2017